A genomic predictor of oral squamous cell carcinoma

Laryngoscope

Volumn 114, Issue 8, 2004, Pages 1346-1354

  Whipple, Mark E ^a   Mendez, Eduardo ^a   Farwell, D Gregory ^a   Agoff, S Nicholas ^a,b   Chen, Chu ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Fred Hutchinson Cancer Research Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA;

ARTICLE; CONTROLLED STUDY; DNA MICROARRAY; EXPRESSED SEQUENCE TAG; GENE EXPRESSION; GENETIC SUSCEPTIBILITY; GENOMICS; HISTOLOGY; HUMAN; HUMAN TISSUE; MOUTH CARCINOMA; NUCLEOTIDE SEQUENCE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RNA HYBRIDIZATION; SQUAMOUS CELL CARCINOMA;

CARCINOMA, SQUAMOUS CELL; GENETIC MARKERS; HUMANS; LIKELIHOOD FUNCTIONS; MOUTH MUCOSA; MOUTH NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS; PRINCIPAL COMPONENT ANALYSIS; TUMOR MARKERS, BIOLOGICAL;

EID: 3843124371     PISSN: 0023852X     EISSN: 15314995     Source Type: Journal    
DOI: 10.1097/00005537-200408000-00006     Document Type: Article

References (15)

1. American Cancer Society. Cancer Facts and Figures, 2002. Atlanta, GA: American Cancer Society, 2002.
2. Ha PK, Califano JA. The molecular biology of mucosal field cancerization of the head and neck. Crit Rev Oral Biol Med 2003;14:363-369.
3. Silverman S, Gorsky M, Lozada F. Oral leukoplakia and malignant transformation: a follow-up study of 257 patients. Cancer (Phila) 1984;53:563-568.
4. Chu PG, Lyda MH, Weiss LM. Cytokeratin 14 expression in epithelial neoplasms: a survey of 435 cases with emphasis on its value in differentiating squamous cell carcinomas from other epithelial tumours. Histopathology 2001;39:9-16.
5. Cohen-Kerem R, Lahat N, Elmalah I, et al. Detection of cytokeratins in normal and malignant laryngeal epithelia by means of reverse transcriptase-polymerase chain reaction. Ann Otol Rhinol Laryngol 2002;111:149-154.
6. Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 1995;270:467-470.
7. Golub TR, Slonim DK, Tamayo P, et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999;286:531-537.
8. Mendez E, Cheng C, Farwell DG, et al. Transcriptional expression profiles of oral squamous cell carcinomas. Cancer 2002;95:1482-1494.
9. Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 1998;95:14863-14868.
10. Misra J, Schmitt W, Hwang D, et al. Interactive exploration of microarray gene expression patterns in a reduced dimensional space. Genome Res 2002;12:1112-1120.
11. 2+-relevant and differentiation-associated genes downregulated in esophageal squamous cell carcinoma using cDNA microarray. Oncogene 2004;23:1291-1299.
12. Esteban F, Concha A, Huelin C, et al. Histocompatibility antigens in primary and metastatic squamous cell carcinoma of the larynx. Int J Cancer 1989;43:436-442.
13. Kerr MK, Martin M, Churchill GA. Analysis of variance for gene expression microarray data. J Comput Biol 2000;7:819-837.
14. Thomas JG, Olson JM, Tapscott SJ, Zhao LP. An efficient and robust statistical modeling approach to analyze genome-wide expression profiles: discovery of differentially expressed genes in human cancers. Genome Res 2001;11:1227-1236.
15. Yeung KY, Ruzzo WL. Principal component analysis for clustering gene expression data. Bioinformatics 2001;17:763-774.